| --- |
| license: unknown |
| task_categories: |
| - other |
| language: |
| - vi |
| tags: |
| - sign-language |
| - vietnamese-sign-language |
| - pose-estimation |
| - dwpose |
| - skeleton |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Multi-VSL (front view) — DWPose skeletons |
|
|
| Whole-body 2D pose keypoints extracted with [DWPose](https://github.com/IDEA-Research/DWPose) |
| from the front-camera clips of the Multi-VSL Vietnamese Sign Language corpus. |
|
|
| - **28,406** clips, one `.npz` per clip |
| - Total size: ~4.6 GB |
| - Laid out as `data/<signer>/<clip>.npz` — 30 signer directories, 628–1,167 clips |
| each (HF rejects directories holding more than 10,000 files, so a flat tree is |
| not possible here) |
|
|
| ## Contents of each `.npz` |
|
|
| | key | shape | dtype | description | |
| |---|---|---|---| |
| | `all_xy` | `(T, 128, 2)` | `float16` | keypoint pixel coordinates per frame | |
| | `all_score` | `(T, 128)` | `float16` | per-keypoint confidence | |
| | `detected` | `(T,)` | `int8` | 1 if a person was detected in the frame, else 0 | |
| | `frame_size` | `(2,)` | `int32` | source video frame size | |
| | `fps` | scalar | `float32` | source video frame rate | |
|
|
| `T` is the number of frames in the clip. The 128 keypoints follow the DWPose / |
| COCO-WholeBody layout: 17 body + 6 foot + 68 face + 42 hands (21 per hand). |
|
|
| ## File naming |
|
|
| ``` |
| <session>___<view>_<device>_<signer>_<view>_<order>_<clip_index>.npz |
| ``` |
|
|
| e.g. `01_Co-Hien_100-200_1-2-3_0118___center_device10_signer01_center_ord1_100.npz` |
|
|
| ## Usage |
|
|
| ```python |
| import numpy as np |
| from huggingface_hub import hf_hub_download |
| |
| path = hf_hub_download( |
| "Tri1/Multi-VSL-front-skeleton", |
| "data/signer01/01_Co-Hien_100-200_1-2-3_0118___center_device10_signer01_center_ord1_100.npz", |
| repo_type="dataset", |
| ) |
| d = np.load(path) |
| xy, score = d["all_xy"], d["all_score"] # (T, 128, 2), (T, 128) |
| ``` |
|
|
| Download everything, or just one signer: |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download("Tri1/Multi-VSL-front-skeleton", repo_type="dataset", |
| local_dir="skeleton") |
| |
| snapshot_download("Tri1/Multi-VSL-front-skeleton", repo_type="dataset", |
| allow_patterns="data/signer01/*", local_dir="skeleton") |
| ``` |
|
|
